Professor Eleni Vasilaki
Cited by
Cited by
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
C Clopath, L Büsing, E Vasilaki, W Gerstner
Nature neuroscience 13 (3), 344-352, 2010
Memristors—From in‐memory computing, deep learning acceleration, and spiking neural networks to the future of neuromorphic and bio‐inspired computing
A Mehonic, A Sebastian, B Rajendran, O Simeone, E Vasilaki, AJ Kenyon
Advanced Intelligent Systems 2 (11), 2000085, 2020
Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression
C Clopath, L Ziegler, E Vasilaki, L Büsing, W Gerstner
PLoS computational biology 4 (12), e1000248, 2008
Emulating short-term synaptic dynamics with memristive devices
R Berdan, E Vasilaki, A Khiat, G Indiveri, A Serb, T Prodromakis
Scientific reports 6 (1), 18639, 2016
Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail
E Vasilaki, N Frémaux, R Urbanczik, W Senn, W Gerstner
PLoS computational biology 5 (12), e1000586, 2009
Detailed classification of swimming paths in the Morris Water Maze: multiple strategies within one trial
TV Gehring, G Luksys, C Sandi, E Vasilaki
Scientific reports 5 (1), 14562, 2015
A computational model of the integration of landmarks and motion in the insect central complex
AJ Cope, C Sabo, E Vasilaki, AB Barron, JAR Marshall
PloS one 12 (2), e0172325, 2017
Decision-making and action selection in insects: inspiration from vertebrate-based theories
AB Barron, KN Gurney, LFS Meah, E Vasilaki, JAR Marshall
Frontiers in Behavioral Neuroscience 9, 216, 2015
Transient and steady-state selection in the striatal microcircuit
A Tomkins, E Vasilaki, C Beste, K Gurney, MD Humphries
Frontiers in Computational Neuroscience, 2015
QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays
M Mahmud, R Pulizzi, E Vasilaki, M Giugliano
Frontiers in neuroinformatics 8, 26, 2014
Abstract concept learning in a simple neural network inspired by the insect brain
AJ Cope, E Vasilaki, D Minors, C Sabo, JAR Marshall, AB Barron
PLoS computational biology 14 (9), e1006435, 2018
Neuromorphic computation with a single magnetic domain wall
RV Ababei, MOA Ellis, IT Vidamour, DS Devadasan, DA Allwood, ...
Scientific Reports 11 (1), 15587, 2021
Dynamically driven emergence in a nanomagnetic system
RW Dawidek, TJ Hayward, IT Vidamour, TJ Broomhall, G Venkat, ...
Advanced Functional Materials 31 (15), 2008389, 2021
A generalised framework for detailed classification of swimming paths inside the Morris Water Maze
A Vouros, TV Gehring, K Szydlowska, A Janusz, Z Tu, M Croucher, ...
Scientific reports 8 (1), 15089, 2018
Perceptual learning via modification of cortical top-down signals
R Schäfer, E Vasilaki, W Senn
PLoS computational biology 3 (8), e165, 2007
Emergence of connectivity motifs in networks of model neurons with short-and long-term plastic synapses
E Vasilaki, M Giugliano
PloS one 9 (1), e84626, 2014
A model for an angular velocity-tuned motion detector accounting for deviations in the corridor-centering response of the bee
AJ Cope, C Sabo, K Gurney, E Vasilaki, JAR Marshall
PLoS computational biology 12 (5), e1004887, 2016
Exploiting multiple timescales in hierarchical echo state networks
L Manneschi, MOA Ellis, G Gigante, AC Lin, P Del Giudice, E Vasilaki
Frontiers in Applied Mathematics and Statistics 6, 616658, 2021
An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations
A Vouros, S Langdell, M Croucher, E Vasilaki
Machine Learning 110, 1975-2003, 2021
Non-numerical strategies used by bees to solve numerical cognition tasks
HD MaBouDi, AB Barron, S Li, M Honkanen, OJ Loukola, F Peng, W Li, ...
Proceedings of the Royal Society B 288 (1945), 20202711, 2021
The system can't perform the operation now. Try again later.
Articles 1–20